def get_all_dimension_data_range(project):
mtm = factory.get_mtm(project)
data = mtm.get_all_dimension_data_range(None, None)
mtm.disconnect()
return data
def get_metrics_data(
project, branch, revision, product_name=None, os_name=None,
os_version=None, branch_version=None, processor=None, build_type=None,
test_name=None, page_name=None
):
"""Return metrics data based on the parameters and optional filters."""
ptm = factory.get_ptm(project)
mtm = factory.get_mtm(project)
# get the testrun ids from perftest
test_run_ids = ptm.get_test_run_ids(
branch, [revision], product_name, os_name, os_version,
branch_version, processor, build_type, test_name
)
#test page metric
metrics_data = mtm.get_metrics_data_from_test_run_ids(
test_run_ids, page_name
)
ptm.disconnect()
mtm.disconnect()
return metrics_data
def get_metrics_data(project,
branch,
revision,
product_name=None,
os_name=None,
os_version=None,
branch_version=None,
processor=None,
build_type=None,
test_name=None,
page_name=None):
"""Return metrics data based on the parameters and optional filters."""
ptm = factory.get_ptm(project)
mtm = factory.get_mtm(project)
# get the testrun ids from perftest
test_run_ids = ptm.get_test_run_ids(branch, [revision], product_name,
os_name, os_version, branch_version,
processor, build_type, test_name)
#test page metric
metrics_data = mtm.get_metrics_data_from_test_run_ids(
test_run_ids, page_name)
ptm.disconnect()
mtm.disconnect()
return metrics_data
def get_all_dimension_data_range(project):
mtm = factory.get_mtm(project)
data = mtm.get_all_dimension_data_range(None, None)
mtm.disconnect()
return data
def get_platforms_and_tests(project, product, branch, min_timestamp, max_timestamp):
mtm = factory.get_mtm(project)
data = mtm.get_platforms_and_tests(
product, branch, min_timestamp, max_timestamp)
mtm.disconnect()
return data
def get_platforms_and_tests(project, product, branch, min_timestamp,
max_timestamp):
mtm = factory.get_mtm(project)
data = mtm.get_platforms_and_tests(product, branch, min_timestamp,
max_timestamp)
mtm.disconnect()
return data
def get_test_data_all_dimensions(project, product, branch, os, os_version,
test, page, start_time, stop_time):
mtm = factory.get_mtm(project)
data = mtm.get_data_all_dimensions(product, branch, os, os_version, test,
page, start_time, stop_time)
mtm.disconnect()
return data
def get_test_data_all_dimensions(
project, product, branch, os, os_version, test, page,
start_time, stop_time):
mtm = factory.get_mtm(project)
data = mtm.get_data_all_dimensions(
product, branch, os, os_version, test, page, start_time,
stop_time
)
mtm.disconnect()
return data
def get_metrics_summary(project,
branch,
revision,
product_name=None,
os_name=None,
os_version=None,
branch_version=None,
processor=None,
build_type=None,
test_name=None,
pushlog_project=None):
"""Return a metrics summary based on the parameters and optional filters."""
plm = factory.get_plm(pushlog_project)
ptm = factory.get_ptm(project)
mtm = factory.get_mtm(project)
# get the testrun ids from perftest
test_run_ids = ptm.get_test_run_ids(branch, [revision], product_name,
os_name, os_version, branch_version,
processor, build_type, test_name)
#test page metric
metrics_data = mtm.get_metrics_summary(test_run_ids)
metrics_data['product_info'] = {
'version': branch_version,
'name': product_name,
'branch': branch,
'revision': revision
}
#get push info
push_data = plm.get_node_from_revision(revision, branch)
metrics_data['push_data'] = push_data
#get the products associated with this revision/branch combination
products = ptm.get_revision_products(revision, branch)
metrics_data['products'] = products
plm.disconnect()
ptm.disconnect()
mtm.disconnect()
return metrics_data
def get_metrics_summary(
project, branch, revision, product_name=None, os_name=None,
os_version=None, branch_version=None, processor=None, build_type=None,
test_name=None, pushlog_project=None
):
"""Return a metrics summary based on the parameters and optional filters."""
plm = factory.get_plm(pushlog_project)
ptm = factory.get_ptm(project)
mtm = factory.get_mtm(project)
# get the testrun ids from perftest
test_run_ids = ptm.get_test_run_ids(
branch, [revision], product_name, os_name, os_version,
branch_version, processor, build_type, test_name
)
#test page metric
metrics_data = mtm.get_metrics_summary(test_run_ids)
metrics_data['product_info'] = {
'version': branch_version,
'name': product_name,
'branch': branch,
'revision': revision
}
#get push info
push_data = plm.get_node_from_revision(revision, branch)
metrics_data['push_data'] = push_data
#get the products associated with this revision/branch combination
products = ptm.get_revision_products(revision, branch)
metrics_data['products'] = products
plm.disconnect()
ptm.disconnect()
mtm.disconnect()
return metrics_data
def get_application_log(project, revision):
mtm = factory.get_mtm(project)
log = mtm.get_application_log(revision)
return log
def get_metrics_pushlog(
project, branch, revision, product_name=None, os_name=None,
os_version=None, branch_version=None, processor=None, build_type=None,
test_name=None, page_name=None, pushes_before=None, pushes_after=None,
pushlog_project=None
):
"""Return a metrics summary based on the parameters and optional filters."""
plm = factory.get_plm(pushlog_project)
ptm = factory.get_ptm(project)
mtm = factory.get_mtm(project)
aggregate_pushlog, changeset_lookup = plm.get_branch_pushlog_by_revision(
revision, branch, pushes_before, pushes_after
)
pushlog_id_index_map = {}
all_revisions = []
for index, node in enumerate(aggregate_pushlog):
pushlog_id_index_map[node['pushlog_id']] = index
aggregate_pushlog[index]['metrics_data'] = []
aggregate_pushlog[index]['dz_revision'] = ""
aggregate_pushlog[index]['branch_name'] = branch
changesets = changeset_lookup[ node['pushlog_id'] ]
#The revisions associated with a push are returned in reverse order
#from the pushlog web service. This orders them the same way tbpl
#does.
changesets['revisions'].reverse()
#truncate the revision strings and collect them
for cset_index, revision_data in enumerate(changesets['revisions']):
full_revision = revision_data['revision']
revision = mtm.truncate_revision(full_revision)
changesets['revisions'][cset_index]['revision'] = revision
all_revisions.append(revision)
aggregate_pushlog[index]['revisions'] = changesets['revisions']
pushlog_id_list = pushlog_id_index_map.keys()
# get the testrun ids from perftest
filtered_test_run_ids = ptm.get_test_run_ids(
branch, all_revisions, product_name, os_name, os_version,
branch_version, processor, build_type, test_name
)
# get the test run ids associated with the pushlog ids
pushlog_test_run_ids = mtm.get_test_run_ids_from_pushlog_ids(
pushlog_ids=pushlog_id_list
)
# get intersection
test_run_ids = list( set(filtered_test_run_ids).intersection(
set(pushlog_test_run_ids)) )
# get the metrics data for the intersection
metrics_data = mtm.get_metrics_data_from_test_run_ids(
test_run_ids, page_name
)
#decorate aggregate_pushlog with the metrics data
for d in metrics_data:
pushlog_id = d['push_info'].get('pushlog_id', None)
#A defined pushlog_id is required to decorate the correct push
if not pushlog_id:
continue
pushlog_index = pushlog_id_index_map[pushlog_id]
aggregate_pushlog[pushlog_index]['metrics_data'].append(d)
aggregate_pushlog[pushlog_index]['dz_revision'] = d['test_build']['revision']
plm.disconnect()
ptm.disconnect()
mtm.disconnect()
return aggregate_pushlog
def get_application_log(project, revision):
mtm = factory.get_mtm(project)
log = mtm.get_application_log(revision)
return log
def get_metrics_pushlog(project,
branch,
revision,
product_name=None,
os_name=None,
os_version=None,
branch_version=None,
processor=None,
build_type=None,
test_name=None,
page_name=None,
pushes_before=None,
pushes_after=None,
pushlog_project=None):
"""Return a metrics summary based on the parameters and optional filters."""
plm = factory.get_plm(pushlog_project)
ptm = factory.get_ptm(project)
mtm = factory.get_mtm(project)
aggregate_pushlog, changeset_lookup = plm.get_branch_pushlog_by_revision(
revision, branch, pushes_before, pushes_after)
pushlog_id_index_map = {}
all_revisions = []
for index, node in enumerate(aggregate_pushlog):
pushlog_id_index_map[node['pushlog_id']] = index
aggregate_pushlog[index]['metrics_data'] = []
aggregate_pushlog[index]['dz_revision'] = ""
aggregate_pushlog[index]['branch_name'] = branch
changesets = changeset_lookup[node['pushlog_id']]
#The revisions associated with a push are returned in reverse order
#from the pushlog web service. This orders them the same way tbpl
#does.
changesets['revisions'].reverse()
#truncate the revision strings and collect them
for cset_index, revision_data in enumerate(changesets['revisions']):
full_revision = revision_data['revision']
revision = mtm.truncate_revision(full_revision)
changesets['revisions'][cset_index]['revision'] = revision
all_revisions.append(revision)
aggregate_pushlog[index]['revisions'] = changesets['revisions']
pushlog_id_list = pushlog_id_index_map.keys()
# get the testrun ids from perftest
filtered_test_run_ids = ptm.get_test_run_ids(branch, all_revisions,
product_name, os_name,
os_version, branch_version,
processor, build_type,
test_name)
# get the test run ids associated with the pushlog ids
pushlog_test_run_ids = mtm.get_test_run_ids_from_pushlog_ids(
pushlog_ids=pushlog_id_list)
# get intersection
test_run_ids = list(
set(filtered_test_run_ids).intersection(set(pushlog_test_run_ids)))
# get the metrics data for the intersection
metrics_data = mtm.get_metrics_data_from_test_run_ids(
test_run_ids, page_name)
#decorate aggregate_pushlog with the metrics data
for d in metrics_data:
pushlog_id = d['push_info'].get('pushlog_id', None)
#A defined pushlog_id is required to decorate the correct push
if not pushlog_id:
continue
pushlog_index = pushlog_id_index_map[pushlog_id]
aggregate_pushlog[pushlog_index]['metrics_data'].append(d)
aggregate_pushlog[pushlog_index]['dz_revision'] = d['test_build'][
'revision']
plm.disconnect()
ptm.disconnect()
mtm.disconnect()
return aggregate_pushlog
